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Artificial Intelligence Or Machine Learning (AI/ML) Medical Device Market Growth From $10.23 Billion In 2026 To $26.45 Billion By 2030 At A CAGR Of 26.8%
The market for artificial intelligence and machine learning (AI/ML) medical devices has experienced explosive growth in recent years. Projected to expand from $8.11 billion in 2025 to $10.24 billion in 2026, this represents a compound annual growth rate (CAGR) of 26.2%. Several factors have driven this historic expansion, including the increased use of medical imaging, a shortage of healthcare workers, rising chronic disease rates, the digitization of health records, and ongoing improvements in medical device technology.
The market for artificial intelligence and machine learning (AI/ML) medical devices is projected to experience rapid expansion in the coming years. By 2030, it is anticipated to reach a value of $26.46 billion, reflecting a compound annual growth rate (CAGR) of 26.8%. This forecasted growth is driven by factors such as the increasing uptake of precision medicine, the broadening of telehealth services, regulatory clearances for AI-based medical tools, a growing emphasis on early disease identification, and the rise of value-oriented healthcare models. Key developments shaping this period include AI-enhanced diagnostic imaging, clinical decision support systems, devices for remote patient monitoring, predictive analytics in healthcare, and robot-assisted surgical techniques.
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#Artificial Intelligence Or Machine Learning (AI/ML) Medical Device Market Growth Drivers And Industry Catalysts
Healthcare AI investments are set to drive forward the expansion of the artificial intelligence or machine learning medical device market. Healthcare AI involves the use of AI technologies within the medical field to enhance healthcare delivery, diagnosis, treatment, and patient care overall. Such investments are fueled by the ability of AI and machine learning to transform healthcare services, boost patient outcomes, and increase operational effectiveness. For example, in March 2023, the UK-based Department of Health and Social Care reported that more than 300,000 patients gained from $147.2 million (£123 million) invested across three award rounds supporting 86 AI technologies. Moreover, Mendelian, a UK digital health startup, received $1.7 million (£1.4 million) to back an AI system designed to identify patients with undiagnosed rare diseases. Additionally, Medtronic, a US medical device company, was granted $3.18 million (£2.5 million) to advance the GI Genius, an AI-powered medical device. Consequently, investments in healthcare AI are propelling growth in the artificial intelligence and machine learning medical device market.
Artificial Intelligence Or Machine Learning (AI/ML) Medical Device Market Categorization By Product Type And Application
The artificial intelligence or machine learning (ai/ml) medical device market covered in this report is segmented –
1) By Product: System Or Hardware, Software-As-A Medical Devices
2) By Clinical Area: Radiology, Cardiology, Hematology, Other Clinical Areas
3) By End-User: Hospitals And Healthcare Providers, Patients, Pharmaceuticals And Biotechnology Companies, Healthcare payers, Other End-Users
Subsegments:
1) By System Or Hardware: Diagnostic Imaging Systems, Surgical Robots, Monitoring Devices
2) By Software-As-A-Medical Device: AI Diagnostic Software, Clinical Decision Support Systems, Predictive Analytics Platforms
#Artificial Intelligence Or Machine Learning (AI/ML) Medical Device Market Trends Influencing Long-Term Demand
Major key players within the artificial intelligence (AI) and machine learning (ML) medical device market are investing in the development of sophisticated technologies, like AI-based performance insights, aimed at refining surgical accuracy, streamlining clinical workflows, and boosting patient outcomes through data-informed decision-making tools. These AI-driven Performance Insights represent an advanced analytical platform leveraging artificial intelligence algorithms to process surgical footage and produce actionable observations that elevate surgical skill, effectiveness, and educational efforts. In April 2024, for example, Medtronic plc, a medical devices corporation headquartered in Ireland, introduced 14 new AI-driven Performance Insights algorithms alongside Touch Surgery Live Stream technology, specifically tailored to improve both laparoscopic and robot-assisted surgeries. These offerings facilitate AI-powered evaluations after surgery, offering thorough breakdowns of surgical methods, and support live, remote monitoring to enhance surgical training and connectivity, consequently establishing a new standard for AI-augmented surgical performance.
Artificial Intelligence Or Machine Learning (AI/ML) Medical Device Market Company Landscape And Strategic Competition
Major companies operating in the artificial intelligence or machine learning (ai/ml) medical device market are General Electric; Medtronic PLC; Canon Inc.; Nvidia Corporation; Siemens Healthineers AG; Koninklijke Philips N.V.; Stryker Corporation; RadNet Inc.; ShanghAI United Imaging Healthcare Co. Ltd.; Tempus; DataRobot Inc.; DeepMind Technologies Limited; Paige AI Inc.; Aidoc Medical Ltd.; Butterfly Network Inc.; Aidoc Medical; CellaVision AB; Clarius Mobile Health Corp.; Subtle Medical Inc.; Owkin Inc.; Cleerly Inc.; Behold.ai; Viz.AI Inc.; Arterys Inc.; Caption Health; Enlitic Inc.; Hyperfine Inc.; Nanox AI Ltd.
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Artificial Intelligence Or Machine Learning (AI/ML) Medical Device Market Regional Analysis And Leading Geography
North America was the largest region in the artificial intelligence machine learning (AI/ML) medical device market in 2025. The regions covered in the artificial intelligence or machine learning (ai/ml) medical device market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.